java.io.IOException: Incomplete HDFS URI, no host

最新推荐文章于 2023-09-25 18:51:44 发布
原创 最新推荐文章于 2023-09-25 18:51:44 发布 · 1.1w 阅读 · 2 ·
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#Java #Hadoop #Apache

本文介绍了在Hadoop中遇到的一个常见问题：不正确的HDFS URI配置导致的异常。具体表现为URI中包含下划线导致主机名解析失败。文章强调了在Hadoop配置中避免使用下划线的重要性，并指出了可以用横线作为替代。

ERROR org.apache.hadoop.hdfs.server.namenode.NameNode: java.io.IOException: Incomplete HDFS URI, no host: hdfs://data_181.uc:9000

 

着实郁闷到了，原来在Hadoop中，主机名不要包含下划线“_”，但可以有横线“-”。

Incomplete HDFS URI

 

 

 

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最新发布
09-29
### 解决 Incomplete HDFS URI, no host: hdfs://localhost:9000g 的 IOException 此异常通常是由于 HDFS URI 格式不正确导致的。在 HDFS URI 中，主机名和端口之后不应该有多余的字符。需要检查代码中使用的 HDFS ...
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o-3.0.16.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\fusesource\leveldbjni\leveldbjni-all\1.8\leveldbjni-all-1.8.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\glassfish\hk2\external\aopalliance-repackaged\2.6.1\aopalliance-repackaged-2.6.1.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\glassfish\hk2\external\jakarta.inject\2.6.1\jakarta.inject-2.6.1.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\glassfish\hk2\hk2-api\2.6.1\hk2-api-2.6.1.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\glassfish\hk2\hk2-locator\2.6.1\hk2-locator-2.6.1.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\glassfish\hk2\hk2-utils\2.6.1\hk2-utils-2.6.1.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\glassfish\hk2\osgi-resource-locator\1.0.3\osgi-resource-locator-1.0.3.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\glassfish\jersey\containers\jersey-container-servlet-core\2.34\jersey-container-servlet-core-2.34.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\glassfish\jersey\containers\jersey-container-servlet\2.34\jersey-container-servlet-2.34.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\glassfish\jersey\core\jersey-client\2.34\jersey-client-2.34.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\glassfish\jersey\core\jersey-common\2.34\jersey-common-2.34.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\glassfish\jersey\core\jersey-server\2.34\jersey-server-2.34.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\glassfish\jersey\inject\jersey-hk2\2.34\jersey-hk2-2.34.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\javassist\javassist\3.25.0-GA\javassist-3.25.0-GA.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\jetbrains\annotations\17.0.0\annotations-17.0.0.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\json4s\json4s-ast_2.12\3.7.0-M11\json4s-ast_2.12-3.7.0-M11.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\json4s\json4s-core_2.12\3.7.0-M11\json4s-core_2.12-3.7.0-M11.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\json4s\json4s-jackson_2.12\3.7.0-M11\json4s-jackson_2.12-3.7.0-M11.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\json4s\json4s-scalap_2.12\3.7.0-M11\json4s-scalap_2.12-3.7.0-M11.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\lz4\lz4-java\1.7.1\lz4-java-1.7.1.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\objenesis\objenesis\2.5.1\objenesis-2.5.1.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\roaringbitmap\RoaringBitmap\0.9.0\RoaringBitmap-0.9.0.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\roaringbitmap\shims\0.9.0\shims-0.9.0.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\rocksdb\rocksdbjni\6.20.3\rocksdbjni-6.20.3.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\scala-lang\modules\scala-parser-combinators_2.12\1.1.2\scala-parser-combinators_2.12-1.1.2.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\scala-lang\modules\scala-xml_2.12\1.2.0\scala-xml_2.12-1.2.0.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\scala-lang\scala-library\2.12.15\scala-library-2.12.15.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\scala-lang\scala-reflect\2.12.15\scala-reflect-2.12.15.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\slf4j\jcl-over-slf4j\1.7.30\jcl-over-slf4j-1.7.30.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\slf4j\jul-to-slf4j\1.7.30\jul-to-slf4j-1.7.30.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\slf4j\slf4j-api\1.7.30\slf4j-api-1.7.30.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\slf4j\slf4j-log4j12\1.7.30\slf4j-log4j12-1.7.30.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\spark-project\spark\unused\1.0.0\unused-1.0.0.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\threeten\threeten-extra\1.5.0\threeten-extra-1.5.0.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\tukaani\xz\1.8\xz-1.8.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\org\xerial\snappy\snappy-java\1.1.8.4\snappy-java-1.1.8.4.jar;C:\Users\21279\AppData\Local\Coursier\cache\v1\https\repo1.maven.org\maven2\oro\oro\2.0.8\oro-2.0.8.jar Titanic Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties 25/06/19 11:13:36 INFO SparkContext: Running Spark version 3.2.0 25/06/19 11:13:37 INFO ResourceUtils: ============================================================== 25/06/19 11:13:37 INFO ResourceUtils: No custom resources configured for spark.driver. 25/06/19 11:13:37 INFO ResourceUtils: ============================================================== 25/06/19 11:13:37 INFO SparkContext: Submitted application: Titanic 25/06/19 11:13:37 INFO ResourceProfile: Default ResourceProfile created, executor resources: Map(cores -> name: cores, amount: 1, script: , vendor: , memory -> name: memory, amount: 1024, script: , vendor: , offHeap -> name: offHeap, amount: 0, script: , vendor: ), task resources: Map(cpus -> name: cpus, amount: 1.0) 25/06/19 11:13:37 INFO ResourceProfile: Limiting resource is cpu 25/06/19 11:13:37 INFO ResourceProfileManager: Added ResourceProfile id: 0 25/06/19 11:13:37 INFO SecurityManager: Changing view acls to: 21279 25/06/19 11:13:37 INFO SecurityManager: Changing modify acls to: 21279 25/06/19 11:13:37 INFO SecurityManager: Changing view acls groups to: 25/06/19 11:13:37 INFO SecurityManager: Changing modify acls groups to: 25/06/19 11:13:37 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(21279); groups with view permissions: Set(); users with modify permissions: Set(21279); groups with modify permissions: Set() 25/06/19 11:13:38 INFO Utils: Successfully started service 'sparkDriver' on port 58426. 25/06/19 11:13:38 INFO SparkEnv: Registering MapOutputTracker 25/06/19 11:13:38 INFO SparkEnv: Registering BlockManagerMaster 25/06/19 11:13:38 INFO BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information 25/06/19 11:13:38 INFO BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up 25/06/19 11:13:38 INFO SparkEnv: Registering BlockManagerMasterHeartbeat 25/06/19 11:13:39 INFO DiskBlockManager: Created local directory at C:\Users\21279\AppData\Local\Temp\blockmgr-d9717778-5c19-4b54-ba8c-bdc23a2bec0f 25/06/19 11:13:39 INFO MemoryStore: MemoryStore started with capacity 1985.4 MiB 25/06/19 11:13:39 INFO SparkEnv: Registering OutputCommitCoordinator 25/06/19 11:13:39 INFO Utils: Successfully started service 'SparkUI' on port 4040. 25/06/19 11:13:39 INFO SparkUI: Bound SparkUI to 0.0.0.0, and started at http://lxf:4040 25/06/19 11:13:39 INFO Executor: Starting executor ID driver on host lxf 25/06/19 11:13:39 INFO Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port 58453. 25/06/19 11:13:39 INFO NettyBlockTransferService: Server created on lxf:58453 25/06/19 11:13:39 INFO BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy 25/06/19 11:13:39 INFO BlockManagerMaster: Registering BlockManager BlockManagerId(driver, lxf, 58453, None) 25/06/19 11:13:39 INFO BlockManagerMasterEndpoint: Registering block manager lxf:58453 with 1985.4 MiB RAM, BlockManagerId(driver, lxf, 58453, None) 25/06/19 11:13:39 INFO BlockManagerMaster: Registered BlockManager BlockManagerId(driver, lxf, 58453, None) 25/06/19 11:13:39 INFO BlockManager: Initialized BlockManager: BlockManagerId(driver, lxf, 58453, None) 25/06/19 11:13:39 WARN SparkContext: Using an existing SparkContext; some configuration may not take effect. 25/06/19 11:13:40 INFO SharedState: Setting hive.metastore.warehouse.dir ('null') to the value of spark.sql.warehouse.dir. 25/06/19 11:13:40 INFO SharedState: Warehouse path is 'file:/D:/workspace/Maven/titanic_demo/spark-warehouse'. 25/06/19 11:13:41 WARN FileSystem: Failed to initialize fileystem hdfs://192.168.42:9000/user/hadoop/titanic/titanic.csv: java.io.IOException: Incomplete HDFS URI, no host: hdfs://192.168.42:9000/user/hadoop/titanic/titanic.csv 25/06/19 11:13:41 WARN FileStreamSink: Assume no metadata directory. Error while looking for metadata directory in the path: hdfs://192.168.42:9000/user/hadoop/titanic/titanic.csv. java.io.IOException: Incomplete HDFS URI, no host: hdfs://192.168.42:9000/user/hadoop/titanic/titanic.csv at org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:183) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3469) at org.apache.hadoop.fs.FileSystem.access$300(FileSystem.java:174) at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3574) at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3521) at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:540) at org.apache.hadoop.fs.Path.getFileSystem(Path.java:365) at org.apache.spark.sql.execution.streaming.FileStreamSink$.hasMetadata(FileStreamSink.scala:53) at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:370) at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:274) at org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:245) at scala.Option.getOrElse(Option.scala:189) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:245) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:188) at Titanic$.main(Titanic.scala:27) at Titanic.main(Titanic.scala) 25/06/19 11:13:41 WARN FileSystem: Failed to initialize fileystem hdfs://192.168.42:9000/user/hadoop/titanic/titanic.csv: java.io.IOException: Incomplete HDFS URI, no host: hdfs://192.168.42:9000/user/hadoop/titanic/titanic.csv Exception in thread "main" java.io.IOException: Incomplete HDFS URI, no host: hdfs://192.168.42:9000/user/hadoop/titanic/titanic.csv at org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:183) at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3469) at org.apache.hadoop.fs.FileSystem.access$300(FileSystem.java:174) at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3574) at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3521) at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:540) at org.apache.hadoop.fs.Path.getFileSystem(Path.java:365) at org.apache.spark.sql.execution.datasources.DataSource$.$anonfun$checkAndGlobPathIfNecessary$1(DataSource.scala:747) at scala.collection.immutable.List.map(List.scala:293) at org.apache.spark.sql.execution.datasources.DataSource$.checkAndGlobPathIfNecessary(DataSource.scala:745) at org.apache.spark.sql.execution.datasources.DataSource.checkAndGlobPathIfNecessary(DataSource.scala:577) at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:408) at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:274) at org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:245) at scala.Option.getOrElse(Option.scala:189) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:245) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:188) at Titanic$.main(Titanic.scala:27) at Titanic.main(Titanic.scala) 25/06/19 11:13:41 INFO SparkContext: Invoking stop() from shutdown hook 25/06/19 11:13:41 INFO SparkUI: Stopped Spark web UI at http://lxf:4040 25/06/19 11:13:41 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped! 25/06/19 11:13:41 INFO MemoryStore: MemoryStore cleared 25/06/19 11:13:41 INFO BlockManager: BlockManager stopped 25/06/19 11:13:41 INFO BlockManagerMaster: BlockManagerMaster stopped 25/06/19 11:13:41 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped! 25/06/19 11:13:41 INFO SparkContext: Successfully stopped SparkContext 25/06/19 11:13:41 INFO ShutdownHookManager: Shutdown hook called 25/06/19 11:13:41 INFO ShutdownHookManager: Deleting directory C:\Users\21279\AppData\Local\Temp\spark-f92de141-507f-4f46-a675-bdf38dd1487f Process finished with exit code 1
06-20
我们面对的是两个主要问题：`UnknownHostException`（主机名无法解析）和`IncompleteHDFSURI`（HDFSURI不完整）。下面将分别针对这两个问题提供解决方案，并特别说明在Spark中如何正确配置HDFS路径。---###**一、`...
Hadoop集群启动NameNode错误 JAVA.IO.IOEXCEPTION: NAMENODE IS NOT FORMATTED
fa124607857的博客
05-21 2914
JAVA.IO.IOEXCEPTION: NAMENODE IS NOT FORMATTED. 新创建的HADOOP集群启动时报错NAMENODE没有启动成功 出现的错误: 出错的原因: hadoop集群创建完成之后 namenode没有进行初始化 解决方法 以下均是在主节点操作 我的hadoop安装目录是 : /export/install/hadoop-2.6.0-cdh5.14.0/ 1.先关闭hadoop集群 /hadoop的安装目录/sbin/stop-all.sh 示例:.
hadoop 搭建过程中遇到的问题
写代码的小孩
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1. ssh本身不可达 查看的地方1./etc/hosts/deny /etc/hosts.allow 查看/etc/ssh/sshd_config  #modify to ssh localhost xbn #Protocol 1 Protocol 2 #modify end 这里是1 无法和localhost建立信任关系，但是修改成上面的样子就可以了 2.hadoo
java.lang.Exception: java.io.IOException: Illegal partition for解决方法
大数据梦想家
11-25 8404
        今天写了一个自定义分区的案例,本以为会一路顺风顺水,没想到在运行的时候,直接报了一个从没见过的一个IO异常:Illegal partition for。光从字面上看是因为分区异常导致的，但我找了半天也没有看出问题的根源在哪里~~ 找了半天,总算是找到了问题的根源。 在自己的自定义分区里,返回的分区分...
java.io.IOException: No FileSystem for scheme: hdfs异常解决
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12-15 1万+
Configuration conf = new Configuration(); conf.set("fs.hdfs.impl",org.apache.hadoop.hdfs.DistributedFileSystem.class.getName()); fs = FileSystem.get(new URI(HDFS_PATH), conf); 若出现java.io.IOExc
遇到 Exception in thread "main" java.io.IOException: No FileSystem for scheme: hdfs解决办法
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问题：Exception in thread “main” java.io.IOException: No FileSystem for scheme: hdfs 工作过程中遇到了这个问题，调用org.apache.hadoop.fs.FileSystem这一套API来对hdfs上面的文件进行操作，但是本地运行正常的代码打包上传到服务器上发现运行会报错Exception in thread “ma...
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